000			03637nab a2200493 i 4500
001			ELB125606
003			FINmELB
005			20241215002345.0
006			m o d |
007			cr cnu||||||||
008			230918c20199999sp kr p o 0 0eng d
022			_a1699-2407
035			_a(OCoLC)1399430588
040			_aFINmELB _bspa _erda _cFINmELB
050		4	_aZ665 _b.A245 2019
080			_a02
082	0	4	_a020 _223
100	1		_aAbella, Alberto, _eautor.
245	1	0	_aMeloda 5 : _bA metric to assess open data reusability / _cAlberto Abella, Marta Ortiz-de-Urbina-Criado y Carmen De-Pablos-Heredero.
264		1	_aMadrid : _bEl Profesional de la información, _c2019.
310			_aFrecuencia continua
336			_atexto _btxt _2rdacontent/spa
337			_acomputadora _bc _2rdamedia/spa
338			_arecurso en línea _bcr _2rdacarrier/spa
362	0		_a2000-
520			_aAn updated metric developed to assess the degree of open data reusability, called MEtric for the evaLuation of Open DAta: Meloda 5 is presented. Previous version of the metric, Meloda 4, had six dimensions: the legal licensing of data, the mechanisms to access the data, the technical standards of the datasets, the data model, the geographic content of the data and the updating frequency. With all these dimensions, the metric provides a quantitative evaluation about how reusable the datasets released are. During the last five years, this metric has been cited and used by some other authors but the extensive use of the metric has brought to light some of its limitations. In order to get deeper insights into the topic, a panel of international experts has been surveyed about two aspects of the metric. First aspect was what other factors should be considered in order to qualify the reusability of a released dataset. And the second aspect was the internal structure, the levels for every dimension of the metric; if they should be increased, merged, removed or divi ded. Considering the results of the survey, first, we identify the factors / dimensions that should be kept: legal licensing, access to information, technical standard, standardization, geolocation content and updating frequency of data. Second, we consider the inclusion of two new dimensions: dissemination and reputation. Then, we present the new internal structure, the levels for each dimension, and the measures to evaluate the degree of reuse of each dataset. Finally, a standardization of the metric for other steps of the data impact process, data reuse analytics and data-driven services generation are presented together with future research lines.
588			_aDescripción basada en metadatos suministrados por el editor y otras fuentes.
588			_aDescripción basada en El Profesional de la información, vol. 28, n. 6 (2019), P. 162-171.
590			_aRecurso electrónico. Santa Fe, Arg.: elibro, 2023. Disponible vía World Wide Web. El acceso puede estar limitado para las bibliotecas afiliadas a elibro.
650		4	_aDatificación.
650		4	_aDiseminación.
650		4	_aEstandarización.
650		4	_aGeolocalización.
650		4	_aInformación abierta.
650		4	_aReputación.
650		4	_aReutilizabilidad.
650		4	_aValor.
655		4	_aArtículos electrónicos.
700	1		_aOrtiz-de-Urbina-Criado, Marta, _eautor.
700	1		_aPablos-Heredero, Carmen De, _eautor.
773	1		_tEl Profesional de la información. _xISSN1699-2407 _dMadrid : El Profesional de la información. _gvol. 28, n. 6 (2019), p. 162-171
797	2		_aelibro, Corp.
856	4	0	_uhttps://elibro.net/ereader/pedagogica/125606
999			_c174889 _d174889